Polarization or Diffusion? Spatio-temporal Evolution of Urban Technological Innovation Capacity in China's Five Urban Agglomerations

被引:0
|
作者
Cao, Jinxian [1 ]
Li, Shengning [2 ,3 ,4 ]
Yang, Qingyuan [4 ,5 ,6 ,7 ]
机构
[1] Fudan Univ, Sch Int Relat & Publ Affairs, Shanghai 200433, Peoples R China
[2] Peking Univ, Sch New Media, Beijing 100091, Peoples R China
[3] Southwest Univ, Hanhong Coll, Chongqing 400715, Peoples R China
[4] Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China
[5] Minist Nat Resources, Key Lab Monitoring Evaluat & Early Warning Terr S, Chongqing 401147, Peoples R China
[6] China Urban Agglomerat Res Base Alliance, Chongqing 400715, Peoples R China
[7] Chinese Geog Soc, West Asia Geog Res Ctr, Chongqing 400715, Peoples R China
关键词
urban agglomerations; urban innovation; spatial effects; polarization and diffusion; FOREIGN DIRECT-INVESTMENT; KNOWLEDGE SPILLOVERS; REGIONAL INNOVATION; SPATIAL SPILLOVERS; INDUSTRIALIZATION EVIDENCE; GEOGRAPHY; PROXIMITY; DYNAMICS; LEVEL; PERFORMANCE;
D O I
10.1007/s11769-022-1309-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Under the background of collaborative innovation, innovation spillovers at urban agglomeration (UA) level is an important issue but rarely discussed. Using balanced panel data of innovation activities in China's five UAs from 2003 to 2016, this paper shows spatio-temporal evolution process of their technological innovation capacity with discussing polarization-diffusion patterns, and simultaneously examines driving factors of that evolution processes. We report three main findings: 1) there is a high degree of concentration in technological innovation capacity distribution within all China's five UAs, linked by economic and innovation collaboration. 2) Innovation capacity increase of China's five UAs is driven by government's investment in science and technology (S&T) to a large extent, followed by influences of infrastructure facilities construction, human capital for S&T, as well as transformation of industrial structure, with great disparities emerged between UAs in our sample period. 3) While the intra-region innovation gaps are reducing in Yangtze River Delta Urban Agglomeration (YRD) with obvious innovation diffusion, urban agglomeration in middle reaches of the Yangtze River (MYR) is still dominated by innovation polarized growth. Differences in polarization-diffusion patterns between these two UAs may be explained by opposite returns of industrial structure and internet infrastructure. Our findings contribute to more effective policy making in promoting innovation development when reducing regional inequality through innovation diffusion.
引用
收藏
页码:946 / 962
页数:17
相关论文
共 50 条
  • [1] Polarization or Diffusion? Spatio-temporal Evolution of Urban Technological Innovation Capacity in China’s Five Urban Agglomerations
    Jinxian Cao
    Shengning Li
    Qingyuan Yang
    [J]. Chinese Geographical Science, 2022, 32 : 946 - 962
  • [2] Polarization or Diffusion? Spatio-temporal Evolution of Urban Technological Innovation Capacity in China's Five Urban Agglomerations
    CAO Jinxian
    LI Shengning
    YANG Qingyuan
    [J]. Chinese Geographical Science, 2022, 32 (06) : 946 - 962
  • [3] Study on the Spatio-Temporal Evolution and Influential Factors of Green Innovation Efficiency in Urban Agglomerations of China
    Feng, Shan
    Kong, Yawen
    Liu, Shuguang
    Zhou, Hongwei
    [J]. SUSTAINABILITY, 2023, 15 (01)
  • [4] Spatio-Temporal Evolution and Quality Analysis of Construction Land in Urban Agglomerations in Central China
    Ning, Qimeng
    Ouyang, Xiao
    Liu, Shaobo
    [J]. FRONTIERS IN ECOLOGY AND EVOLUTION, 2022, 10
  • [5] Unveiling the Spatio-Temporal Evolution and Key Drivers for Urban Green High-Quality Development: A Comparative Analysis of China's Five Major Urban Agglomerations
    Yu, Tonghui
    Huang, Xuan
    Jia, Shanshan
    Cui, Xufeng
    [J]. LAND, 2023, 12 (11)
  • [6] Spatio-temporal characteristics of urban land expansion in Chinese urban agglomerations
    Ouyang, Xiao
    Zhu, Xiang
    [J]. Dili Xuebao/Acta Geographica Sinica, 2020, 75 (03): : 571 - 588
  • [7] Revealing the spatio-temporal characteristics and impact mechanism of carbon emission in China's urban agglomerations
    Wang, Ziyi
    Zhang, Jingxiang
    Luo, Pingjia
    Sun, Dongqi
    Li, Jiaming
    [J]. URBAN CLIMATE, 2023, 52
  • [8] Spatio-Temporal Evolution and Driving Mechanism of Coupling Coordination of Pseudo Human Settlements in Central China's Urban Agglomerations
    Tian, Shenzhen
    Wang, Yadan
    Li, Xueming
    Wu, Wenmei
    Yang, Jun
    Cong, Xueping
    Wang, Hui
    [J]. LAND, 2024, 13 (06)
  • [9] Carbon emissions in China's urban agglomerations: spatio-temporal patterns, regional inequalities, and driving forces
    Zhang, Yunzheng
    Luo, Fubin
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (15) : 22528 - 22546
  • [10] Carbon emissions in China’s urban agglomerations: spatio-temporal patterns, regional inequalities, and driving forces
    Yunzheng Zhang
    Fubin Luo
    [J]. Environmental Science and Pollution Research, 2024, 31 : 22528 - 22546